Your teaching staff will try their best to provide you with detailed assessment marks within three weeks of the submission due date. You are welcome to debate/argue for any extra points that you feel that you deserve within one week after the initial grades have been released.
If possible, please use the foils and tutorials that are located in the IVLE workbin rather than the ones listed on this publicly available website. The IVLE workbin copies are the most authoritative and will contain occasional corrections to the lecture notes and tutorial questions and answers (credits go to Ben Leong for reformatting the tutorial questions for LaTeX; and to Tan Yee Fan for contributing new questions).
Any questions about this information should be directed to the general forum on IVLE. The lecture notes have been adapted from earlier notes by Prof. Ng Hwee Tou and Prof. Tan Chew Lim, which in turn have been adapted from the original slides from Stuart Russell and Peter Norvig. Our former teaching assistant, Mr. Huang Weihua, contributed the slides for the optional lectures on vision and robotics. There's also a good set of complementary notes by the MIT OpenCourseWork project. You might want to consult and/or print them out.
Date | Description | Tutorials / Deadlines |
---|---|---|
S1: 12 Aug | Introduction to AI and Agents
Orientation (v 100812) [ .pdf ] |
|
S2: 19 Aug | Blind Search
Solving problems by searching (v 100817, Chapter 3, Sections 1-4) [ .pdf ] |
|
S3: 26 Aug | Informed Search
Informed Search and Exploration (v 100824, Sections 3.5 and 4.1) [ .pdf ] |
- Tutorial 1: Agents - Answers
- Homework 1 distributed. |
S4: 2 Sep | Game Playing
Adversarial Search (v 100901, a few additional slides, Chapter 5) [ .pdf ] |
- Tutorial 2: Uninformed Search - Answers |
S5: 9 Sep | Constraint Satisfaction
Constraint Satisfaction Problems (v 100909, Chapter 6) [ .pdf ] |
- Tutorial 3: Adversarial and Informed Search - Answers |
S6: 16 Sep | Midterm 45-minute lecture follows midterm: Introduction to Advanced AI Topics Introduction to Advanced Topics (v100914), see misc for videos) [ .pdf ]
|
- Midterm test: Closed Book
- No tutorial this week |
Mid-semester Break: 19 - 27 Sep | ||
S7: 30 Sep | Logical Agents and Propositional Logic
Logical Agents (v 100930), Chapter 7) [ .pdf ] |
- Tutorial 4: Constraint Satisfaction - Answers - Homework 1 due |
S8: 7 Oct | First-Order Logic and Prolog
Introduction to First-Order Logic and Prolog (v100930) [ .pdf ] |
- Tutorial 5: Propositional Logic - Answers
- Team/Individual Homework 2 released. |
S9: 14 Oct | Logical Inference
Logical Inference (v101011, Chapters 7, 8, 9 + Prolog) [ .pdf ] |
- Tutorial 6: First Order Logic - Answers |
S10: 21 Oct | Uncertainty
Uncertainty and Probabilistic Reasoning (v 101017, Chapter 13 and part of 14) [ .pdf ] |
- Tutorial 7: Inference and FOL - Answers |
S11: 28 Oct | Learning
Learning from Observations (v 101023, parts of Chapter 18) [ .pdf ] |
- Tutorial 8: Uncertainty and Bayesian Networks - Answers |
S12: 4 Nov | Natural Language Processing
Communication (v 101103, parts of Chapter 23) [ .pdf ] |
- Tutorial 9: Learning - Answers
- Homework 2 due |
S13: 11 Nov | Exam Revision
(Check out misc for past exams)
Revision (v 101109) [ .pdf ] |
- Tutorial 10: Natural Language Processing - Answers |
23 Nov (Tuesday) |
Final Exam (Evening) Venue: TBA |
Min-Yen Kan <kanmy@comp.nus.edu.sg> Created on: Friday, July 2, 2010 05:39:52 PM SGT | RCS: $Id: syllabus.html,v 1.2 2004/08/11 06:00:38 kanmy Exp kanmy $ | Version: 1.0 | Last modified: Wed Jan 5 00:02:55 2011